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Items: 16

1.

Stochastic modeling of variability in survival behavior of Bacillus simplex spore population during isothermal inactivation at the single cell level using a Monte Carlo simulation.

Abe H, Koyama K, Kawamura S, Koseki S.

Food Microbiol. 2019 Sep;82:436-444. doi: 10.1016/j.fm.2019.03.005. Epub 2019 Mar 8.

PMID:
31027803
2.

Calculating stochastic inactivation of individual cells in a bacterial population using variability in individual cell inactivation time and initial cell number.

Koyama K, Abe H, Kawamura S, Koseki S.

J Theor Biol. 2019 May 21;469:172-179. doi: 10.1016/j.jtbi.2019.01.042. Epub 2019 Mar 2.

PMID:
30831174
3.

Combined analysis of near-infrared spectra, colour, and physicochemical information of brown rice to develop accurate calibration models for determining amylose content.

Olivares Díaz E, Kawamura S, Matsuo M, Kato M, Koseki S.

Food Chem. 2019 Jul 15;286:297-306. doi: 10.1016/j.foodchem.2019.02.005. Epub 2019 Feb 8.

PMID:
30827610
4.

Fusarium graminearum Colors and Deoxynivalenol Synthesis at Different Water Activity.

Cambaza E, Koseki S, Kawamura S.

Foods. 2018 Dec 23;8(1). pii: E7. doi: 10.3390/foods8010007.

5.

Stochastic simulation for death probability of bacterial population considering variability in individual cell inactivation time and initial number of cells.

Koyama K, Abe H, Kawamura S, Koseki S.

Int J Food Microbiol. 2019 Feb 2;290:125-131. doi: 10.1016/j.ijfoodmicro.2018.10.009. Epub 2018 Oct 8.

PMID:
30326383
6.

Stochastic evaluation of Salmonella enterica lethality during thermal inactivation.

Abe H, Koyama K, Kawamura S, Koseki S.

Int J Food Microbiol. 2018 Nov 20;285:129-135. doi: 10.1016/j.ijfoodmicro.2018.08.006. Epub 2018 Aug 8.

PMID:
30118951
7.

A Glance at Aflatoxin Research in Mozambique.

Cambaza E, Koseki S, Kawamura S.

Int J Environ Res Public Health. 2018 Aug 7;15(8). pii: E1673. doi: 10.3390/ijerph15081673. Review.

8.

Growth-Inhibitory Effect of d-Tryptophan on Vibrio spp. in Shucked and Live Oysters.

Chen J, Kudo H, Kan K, Kawamura S, Koseki S.

Appl Environ Microbiol. 2018 Sep 17;84(19). pii: e01543-18. doi: 10.1128/AEM.01543-18. Print 2018 Oct 1.

9.

The Use of Colors as an Alternative to Size in Fusarium graminearum Growth Studies.

Cambaza E, Koseki S, Kawamura S.

Foods. 2018 Jun 27;7(7). pii: E100. doi: 10.3390/foods7070100.

10.

Characteristics of d-Tryptophan as an Antibacterial Agent: Effect of Sodium Chloride Concentration and Temperature on Escherichia coli Growth Inhibition.

Kan K, Chen J, Kawamura S, Koseki S.

J Food Prot. 2018 Jan;81(1):25-30. doi: 10.4315/0362-028X.JFP-17-229.

PMID:
29257726
11.

Estimation of the probability of bacterial population survival: Development of a probability model to describe the variability in time to inactivation of Salmonella enterica.

Koyama K, Hokunan H, Hasegawa M, Kawamura S, Koseki S.

Food Microbiol. 2017 Dec;68:121-128. doi: 10.1016/j.fm.2017.07.007. Epub 2017 Jul 12.

PMID:
28800819
12.
13.

Effects of Ohmic Heating, Including Electric Field Intensity and Frequency, on Thermal Inactivation of Bacillus subtilis Spores.

Murashita S, Kawamura S, Koseki S.

J Food Prot. 2017 Jan;80(1):164-168. doi: 10.4315/0362-028X.JFP-16-300.

PMID:
28221892
14.

Survival Kinetics of Salmonella enterica and Enterohemorrhagic Escherichia coli on a Plastic Surface at Low Relative Humidity and on Low-Water Activity Foods.

Hokunan H, Koyama K, Hasegawa M, Kawamura S, Koseki S.

J Food Prot. 2016 Oct;79(10):1680-1692. doi: 10.4315/0362-028X.JFP-16-081.

PMID:
28221855
15.

Modeling Stochastic Variability in the Numbers of Surviving Salmonella enterica, Enterohemorrhagic Escherichia coli, and Listeria monocytogenes Cells at the Single-Cell Level in a Desiccated Environment.

Koyama K, Hokunan H, Hasegawa M, Kawamura S, Koseki S.

Appl Environ Microbiol. 2017 Feb 1;83(4). pii: e02974-16. doi: 10.1128/AEM.02974-16. Print 2017 Feb 15.

16.

Do bacterial cell numbers follow a theoretical Poisson distribution? Comparison of experimentally obtained numbers of single cells with random number generation via computer simulation.

Koyama K, Hokunan H, Hasegawa M, Kawamura S, Koseki S.

Food Microbiol. 2016 Dec;60:49-53. doi: 10.1016/j.fm.2016.05.019. Epub 2016 Jun 22.

PMID:
27554145

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